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About the Company
The DataOS team at AppsFlyer is building and operating a reliable, high-scale data platform that powers analytics and product capabilities across the company. We process more than 150 billion events per day and manage petabyte-scale historical data. Our team owns much more than a traditional "data lake" - including schema management, ETL pipelines, and interfaces to and from storage.
Responsibilities
- ● Design, build, and evolve large-scale data pipelines from raw ingestion to production-ready datasets.
- ● Develop and maintain Spark/Scala-based data processing workflows for both batch and streaming use cases.
- ● Own data platform reliability, quality, and performance in production environments.
- ● Collaborate with engineers, product owners, and stakeholders to define and deliver robust data solutions.
- ● Help shape engineering standards and operational practices as the DataOS team grows.
Requirements
- ● 3+ years of development experience with a passion for excellence
- ● Experience in JVM languages
- ● Hands-on background with production systems
- ● Experience in building APIs for server-client applications
- ● Strong SQL knowledge
- ● Ability to grasp new languages, systems, and frameworks quickly
- ● A team player with the drive to get things done and lead others along the way
- ● Good communication skills, spoken and written English
- ● Desire to switch into the Big Data domain and learn its stack.
Benefits
- ● Health Insurance
- ● Paid Unlimited Vacation Days + all national holidays + additional recharge days
- ● Meals Reimbursement
- ● Sport Reimbursement
- ● Breakfast in the office
- ● Mental health program
- ● Team building, happy hours, and other team activities
- ● Paid sick days
- ● Snacks, fruits & ice cold beer
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